Data Scientist - Fraud at Plaid
Interview Preparation Plan
As a Data Scientist - Fraud at Plaid, you will be at the forefront of protecting the financial ecosystem. This role involves analyzing vast amounts of customer and network data to understand and combat evolving fraud tactics. You will be responsible for building and maintaining machine learning systems that detect and prevent fraudulent activities before they occur, leveraging Plaid's extensive network data. Your work will directly contribute to Plaid's mission of empowering individuals to live healthier financial lives by ensuring the security and integrity of the platform. You will collaborate closely with product and engineering teams to design and evaluate experiments that shape new customer-facing features and the future of fraud products. This position requires a blend of analytical prowess, machine learning expertise, and a deep understanding of the financial technology landscape.
Key Responsibilities
- Analyze customer and network traffic to understand fraud patterns and Protect performance.
- Build and maintain machine learning systems for fraud detection and prevention.
- Design and implement dashboards and performance metrics to monitor product health.
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